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本文分别运用Logistic回归法和主成分判别分析法建立了两种模型,并比较两种模型的判别效率,从而确定一种好的评估上市公司信用风险的模型。
In this paper, we use Logistic regression and principal component discriminant analysis respectively to establish two models and compare the discriminant efficiency of the two models to determine a good model to evaluate the credit risk of listed companies.